Exemplo n.º 1
0
    def init_points(self):
        uv_surface = self.uv_surface

        full_nu, full_nv = uv_surface.resolution
        part_nu, part_nv = self.resolution
        u_indices = np.linspace(0, full_nu, part_nu).astype(int)
        v_indices = np.linspace(0, full_nv, part_nv).astype(int)

        points, du_points, dv_points = uv_surface.get_surface_points_and_nudged_points(
        )
        normals = uv_surface.get_unit_normals()
        nudged_points = points + self.normal_nudge * normals

        for ui in u_indices:
            path = OpenGLVMobject()
            full_ui = full_nv * ui
            path.set_points_smoothly(nudged_points[full_ui:full_ui + full_nv])
            self.add(path)
        for vi in v_indices:
            path = OpenGLVMobject()
            path.set_points_smoothly(nudged_points[vi::full_nv])
            self.add(path)
Exemplo n.º 2
0
    def __init__(
        self,
        func: Callable[[np.ndarray], np.ndarray],
        color: Color | None = None,
        color_scheme: Callable[[np.ndarray], float] | None = None,
        min_color_scheme_value: float = 0,
        max_color_scheme_value: float = 2,
        colors: Sequence[Color] = DEFAULT_SCALAR_FIELD_COLORS,
        # Determining stream line starting positions:
        x_range: Sequence[float] = None,
        y_range: Sequence[float] = None,
        z_range: Sequence[float] = None,
        three_dimensions: bool = False,
        noise_factor: float | None = None,
        n_repeats=1,
        # Determining how lines are drawn
        dt=0.05,
        virtual_time=3,
        max_anchors_per_line=100,
        padding=3,
        # Determining stream line appearance:
        stroke_width=1,
        opacity=1,
        **kwargs,
    ):
        self.x_range = x_range or [
            floor(-config["frame_width"] / 2),
            ceil(config["frame_width"] / 2),
        ]
        self.y_range = y_range or [
            floor(-config["frame_height"] / 2),
            ceil(config["frame_height"] / 2),
        ]
        self.ranges = [self.x_range, self.y_range]

        if three_dimensions or z_range:
            self.z_range = z_range or self.y_range.copy()
            self.ranges += [self.z_range]
        else:
            self.ranges += [[0, 0]]

        for i in range(len(self.ranges)):
            if len(self.ranges[i]) == 2:
                self.ranges[i] += [0.5]
            self.ranges[i][1] += self.ranges[i][2]

        self.x_range, self.y_range, self.z_range = self.ranges

        super().__init__(
            func,
            color,
            color_scheme,
            min_color_scheme_value,
            max_color_scheme_value,
            colors,
            **kwargs,
        )

        self.noise_factor = (noise_factor if noise_factor is not None else
                             self.y_range[2] / 2)
        self.n_repeats = n_repeats
        self.virtual_time = virtual_time
        self.max_anchors_per_line = max_anchors_per_line
        self.padding = padding
        self.stroke_width = stroke_width

        half_noise = self.noise_factor / 2
        np.random.seed(0)
        start_points = np.array(
            [(x - half_noise) * RIGHT + (y - half_noise) * UP +
             (z - half_noise) * OUT + self.noise_factor * np.random.random(3)
             for n in range(self.n_repeats) for x in np.arange(*self.x_range)
             for y in np.arange(*self.y_range)
             for z in np.arange(*self.z_range)], )

        def outside_box(p):
            return (p[0] < self.x_range[0] - self.padding
                    or p[0] > self.x_range[1] + self.padding - self.x_range[2]
                    or p[1] < self.y_range[0] - self.padding
                    or p[1] > self.y_range[1] + self.padding - self.y_range[2]
                    or p[2] < self.z_range[0] - self.padding
                    or p[2] > self.z_range[1] + self.padding - self.z_range[2])

        max_steps = ceil(virtual_time / dt) + 1
        if not self.single_color:
            self.background_img = self.get_colored_background_image()
            if config["renderer"] == "opengl":
                self.values_to_rgbas = self.get_vectorized_rgba_gradient_function(
                    min_color_scheme_value,
                    max_color_scheme_value,
                    colors,
                )
        for point in start_points:
            points = [point]
            for _ in range(max_steps):
                last_point = points[-1]
                new_point = last_point + dt * func(last_point)
                if outside_box(new_point):
                    break
                points.append(new_point)
            step = max_steps
            if not step:
                continue
            if config["renderer"] == "opengl":
                line = OpenGLVMobject()
            else:
                line = VMobject()
            line.duration = step * dt
            step = max(1, int(len(points) / self.max_anchors_per_line))
            line.set_points_smoothly(points[::step])
            if self.single_color:
                line.set_stroke(self.color)
            else:
                if config["renderer"] == "opengl":
                    # scaled for compatibility with cairo
                    line.set_stroke(width=self.stroke_width / 4.0)
                    norms = np.array([
                        np.linalg.norm(self.func(point))
                        for point in line.points
                    ], )
                    line.set_rgba_array_direct(
                        self.values_to_rgbas(norms, opacity),
                        name="stroke_rgba",
                    )
                else:
                    if np.any(self.z_range != np.array([0, 0.5, 0.5])):
                        line.set_stroke(
                            [self.pos_to_color(p)
                             for p in line.get_anchors()], )
                    else:
                        line.color_using_background_image(self.background_img)
                    line.set_stroke(width=self.stroke_width, opacity=opacity)
            self.add(line)
        self.stream_lines = [*self.submobjects]